Banks would like to understand the patterns of customers' churning from their credit card services. Also, by predicting customers' tendency to churn, the banks can proactively plan for some actions/promotions in order to retain them.
Source: Kaggle Credit Card Customers Dataset
Note: The last 2 columns of the original dataset is deleted since irrelevant.
Python 3.8.5
Packages: pandas, numpy, math, matplotlib, seaborn, sklearn
- Exploratory Data Analysis
- Logistic Regression (Original Dataset)
- Random Forest (Original Dataset)
- Resampling
- Logistic Regression (Resampled Dataset)
- Random Forest (Resampled Dataset)